Deep Learning

Deep Learning

A Practitioner's Approach

Book - 2017
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How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides practical information, but helps you get started building efficient deep learning networks. The authors provide the fundamentals of deep learning--tuning, parallelization, vectorization, and building pipelines--that are valid for any library before introducing the open source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.
Publisher: Sebastopol, CA : O'Reilly, 2017
Edition: First edition
ISBN: 9781491914250
1491914254
Characteristics: xxi, 507 pages : illustrations ; 24 cm
Additional Contributors: Gibson, Adam 1989-

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